JoinOrder Q20c — Canonical JoinOrder 20c
JoinOrder benchmark · all JoinOrder queries
Canonical JoinOrder SQL query 20c; generated DataFrame translation
Representative SQL
Rendered for DataFusion with default parameters.
SELECT MIN(n.name) AS cast_member, MIN(t.title) AS complete_dynamic_hero_movieFROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, char_name AS chn, cast_info AS ci, keyword AS k, kind_type AS kt, movie_keyword AS mk, name AS n, title AS tWHERE cct1.kind = 'cast' AND cct2.kind LIKE '%complete%' AND chn.name IS NOT NULL AND ( chn.name LIKE '%man%' OR chn.name LIKE '%Man%' ) AND k.keyword IN ( 'superhero', 'marvel-comics', 'based-on-comic', 'tv-special', 'fight', 'violence', 'magnet', 'web', 'claw', 'laser' ) AND kt.kind = 'movie' AND t.production_year > 2000 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND ci.movie_id = cc.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_idRepresentative DataFrame
Expression family (Polars, PySpark, DataFusion), default parameters.
def _impl(ctx: DataFrameContext) -> Any: return _execute_joinorder_expression_query(ctx, query_id)Get the exact query for your run
The blocks above are representative. To get the precise statement a specific platform runs at a specific scale, substitute your own values:
from benchbox import JoinOrder
bench = JoinOrder(scale_factor=1.0) # your scale factorqueries = bench.get_queries(dialect="datafusion") # your platform's dialect; drop dialect= for native SQLprint(queries['20c'])For the DataFrame form:
from benchbox.core.query_catalog import get_dataframe_render
print(get_dataframe_render('joinorder', '20c', family="expression").source) # or family="pandas"Source
Query text: benchbox/core/joinorder/queries.py